Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach

Over 100 million Americans suffer from chronic pain (CP), which causes more disability than any other medical condition in the United States at a cost of $560–$635 billion per year (Institute of Medicine, 2011). Opioid analgesics are frequently used to treat CP. However, long term use of opioids can...

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Main Authors: Semra A. Aytur, Kimberly L. Ray, Sarah K. Meier, Jenna Campbell, Barry Gendron, Noah Waller, Donald A. Robin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.587018/full
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author Semra A. Aytur
Kimberly L. Ray
Sarah K. Meier
Jenna Campbell
Barry Gendron
Noah Waller
Donald A. Robin
author_facet Semra A. Aytur
Kimberly L. Ray
Sarah K. Meier
Jenna Campbell
Barry Gendron
Noah Waller
Donald A. Robin
author_sort Semra A. Aytur
collection DOAJ
description Over 100 million Americans suffer from chronic pain (CP), which causes more disability than any other medical condition in the United States at a cost of $560–$635 billion per year (Institute of Medicine, 2011). Opioid analgesics are frequently used to treat CP. However, long term use of opioids can cause brain changes such as opioid-induced hyperalgesia that, over time, increase pain sensation. Also, opioids fail to treat complex psychological factors that worsen pain-related disability, including beliefs about and emotional responses to pain. Cognitive behavioral therapy (CBT) can be efficacious for CP. However, CBT generally does not focus on important factors needed for long-term functional improvement, including attainment of personal goals and the psychological flexibility to choose responses to pain. Acceptance and Commitment Therapy (ACT) has been recognized as an effective, non-pharmacologic treatment for a variety of CP conditions (Gutierrez et al., 2004). However, little is known about the neurologic mechanisms underlying ACT. We conducted an ACT intervention in women (n = 9) with chronic musculoskeletal pain. Functional magnetic resonance imaging (fMRI) data were collected pre- and post-ACT, and changes in functional connectivity (FC) were measured using Network-Based Statistics (NBS). Behavioral outcomes were measured using validated assessments such as the Acceptance and Action Questionnaire (AAQ-II), the Chronic Pain Acceptance Questionnaire (CPAQ), the Center for Epidemiologic Studies Depression Scale (CES-D), and the NIH Toolbox Neuro-QoLTM (Quality of Life in Neurological Disorders) scales. Results suggest that, following the 4-week ACT intervention, participants exhibited reductions in brain activation within and between key networks including self-reflection (default mode, DMN), emotion (salience, SN), and cognitive control (frontal parietal, FPN). These changes in connectivity strength were correlated with changes in behavioral outcomes including decreased depression and pain interference, and increased participation in social roles. This study is one of the first to demonstrate that improved function across the DMN, SN, and FPN may drive the positive outcomes associated with ACT. This study contributes to the emerging evidence supporting the use of neurophysiological indices to characterize treatment effects of alternative and complementary mind-body therapies.
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spelling doaj.art-439e2f7deb8f4659847369ffda3dc5782022-12-21T22:42:20ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612021-02-011510.3389/fnhum.2021.587018587018Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI ApproachSemra A. Aytur0Kimberly L. Ray1Sarah K. Meier2Jenna Campbell3Barry Gendron4Noah Waller5Donald A. Robin6Department of Health Management and Policy, University of New Hampshire, Durham, NH, United StatesDepartment of Psychology, University of Texas at Austin, Austin, TX, United StatesDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United StatesDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United StatesWentworth Health Partners Seacoast Physiatry, Somersworth, NH, United StatesDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United StatesDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham, NH, United StatesOver 100 million Americans suffer from chronic pain (CP), which causes more disability than any other medical condition in the United States at a cost of $560–$635 billion per year (Institute of Medicine, 2011). Opioid analgesics are frequently used to treat CP. However, long term use of opioids can cause brain changes such as opioid-induced hyperalgesia that, over time, increase pain sensation. Also, opioids fail to treat complex psychological factors that worsen pain-related disability, including beliefs about and emotional responses to pain. Cognitive behavioral therapy (CBT) can be efficacious for CP. However, CBT generally does not focus on important factors needed for long-term functional improvement, including attainment of personal goals and the psychological flexibility to choose responses to pain. Acceptance and Commitment Therapy (ACT) has been recognized as an effective, non-pharmacologic treatment for a variety of CP conditions (Gutierrez et al., 2004). However, little is known about the neurologic mechanisms underlying ACT. We conducted an ACT intervention in women (n = 9) with chronic musculoskeletal pain. Functional magnetic resonance imaging (fMRI) data were collected pre- and post-ACT, and changes in functional connectivity (FC) were measured using Network-Based Statistics (NBS). Behavioral outcomes were measured using validated assessments such as the Acceptance and Action Questionnaire (AAQ-II), the Chronic Pain Acceptance Questionnaire (CPAQ), the Center for Epidemiologic Studies Depression Scale (CES-D), and the NIH Toolbox Neuro-QoLTM (Quality of Life in Neurological Disorders) scales. Results suggest that, following the 4-week ACT intervention, participants exhibited reductions in brain activation within and between key networks including self-reflection (default mode, DMN), emotion (salience, SN), and cognitive control (frontal parietal, FPN). These changes in connectivity strength were correlated with changes in behavioral outcomes including decreased depression and pain interference, and increased participation in social roles. This study is one of the first to demonstrate that improved function across the DMN, SN, and FPN may drive the positive outcomes associated with ACT. This study contributes to the emerging evidence supporting the use of neurophysiological indices to characterize treatment effects of alternative and complementary mind-body therapies.https://www.frontiersin.org/articles/10.3389/fnhum.2021.587018/fullAcceptance and Commitment Therapychronic painneural mechanismbrain networksfunctional connectivitygraph theory
spellingShingle Semra A. Aytur
Kimberly L. Ray
Sarah K. Meier
Jenna Campbell
Barry Gendron
Noah Waller
Donald A. Robin
Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach
Frontiers in Human Neuroscience
Acceptance and Commitment Therapy
chronic pain
neural mechanism
brain networks
functional connectivity
graph theory
title Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach
title_full Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach
title_fullStr Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach
title_full_unstemmed Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach
title_short Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach
title_sort neural mechanisms of acceptance and commitment therapy for chronic pain a network based fmri approach
topic Acceptance and Commitment Therapy
chronic pain
neural mechanism
brain networks
functional connectivity
graph theory
url https://www.frontiersin.org/articles/10.3389/fnhum.2021.587018/full
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